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The Startup Ideas Podcast

The Startup Ideas Podcast

Greg Isenberg 343 Episodes Oct 8, 2026

The Startup Ideas Podcast delivers free startup ideas twice a week to inspire your next venture. Hosted by Greg Isenberg, CEO of Late Checkout and former advisor to Reddit and TikTok, the podcast aims to get your creative juices flowing. For more ideas, a database of 30+ startup ideas is available at gregisenberg.com/30startupideas.

Episodes

8 GitHub Repos To Go Viral and Make Money
8 GitHub Repos To Go Viral and Make Money Oct 8, 2026 1469 In this solo episode, I walk through eight GitHub repos and AI skills that I test at night and on weekends. The list covers launch videos, social research, local voice and dubbing, editable decks, agent teams, lead-magnet tools, idea stress-testing, and design guidance. For each one, I explain what it does, how I'd set it up, and one concrete way to use it to make money or run a business more easi
How Will People Make Money in the AI Age?
How Will People Make Money in the AI Age? Oct 6, 2026 1517 In this solo episode, I walk through the 13 businesses I think are left to build in the agentic era. I believe that in a world of agents and abundance, owning the right assets puts you in a better position. For each business, I explain what it is, why it holds up in a world of agents, and one or two examples, from Othership's sauna clubs to Osmo's window-cleaning robots. This episode gives you a m
Become a $1M/yr FDE (Full Course)
Become a $1M/yr FDE (Full Course) Oct 1, 2026 3239 Google's most advanced audio models are LIVE, try them for yourself: Gemini 3.8 Live: https://startup-ideas-pod.link/gemini-3.8-live Gemini 3.5 Transcribe https://startup-ideas-pod.link/gemini-3.5-transcribe Gemini 3.5 Live Translate: https://startup-ideas-pod.link/gemini-3.5-live-translate In this episode, I talk with Vas from Varick about what it takes to put AI to work inside a real company. Va
OpenAI DevDay: Dots, Agents & $100B Opportunities
OpenAI DevDay: Dots, Agents & $100B Opportunities Sep 29, 2026 1136 I watched almost 60 minutes of Sam Altman on stage at OpenAI Dev Day 2026. Out of 20-plus launches, I pick the three or four that I think can make people billions of dollars in aggregate. I break down Dots, OpenAI's personal agent platform, plus the Decisions API, the Agents API with computer use, and Sign in with ChatGPT. I also share my four-step framework for building in this world and two busi
$5T opportunity: AI Roll Ups
$5T opportunity: AI Roll Ups Sep 28, 2026 1789 In this solo episode, I break down the $5 trillion wave of small businesses set to change hands as their owners retire, and why AI agents make this wave a real opening for solo founders. I walk through how Thrive Holdings and General Catalyst buy accounting firms, property managers, and support centers, then run AI agents inside them to lift margins. Then I show how I'd run a one-person holding co
Muse AI Connectors: The Next App Store Moment?
Muse AI Connectors: The Next App Store Moment? Sep 24, 2026 1575 In this solo episode, I break down the huge business opportunity because Meta has opened Muse, its personal AI agent, to developers. You can now submit a connector, which lets Muse use your service when someone asks it for help, and I think this could be the app store moment for AI. I explain how a connector works, share four startup ideas you can build on one, and cover how to get customers beyon
The Right Way To Write With AI
The Right Way To Write With AI Sep 21, 2026 4174 Get Your Complete Financial OS at https://startup-ideas-pod.link/brex_SIP In this episode I speak with Nicholas Cole about the real value of everything you write on the internet. Cole has 15 years of experience as a nonfiction writer and ghostwriter, and he runs the SaaS platform Typeshare. He gives me a simple model with three tiers of content: commodity, personality, and original. He also exp
Jev is HERE. How to use it
Jev is HERE. How to use it Sep 18, 2026 1704 In this episode, I talk with Ryan Vogel about Jev, a new type of AI built for classification. Ryan shows how Jev takes an input plus an output schema and returns a probability for each choice in about 200 milliseconds. He demos Jev sorting 1,700 emails for 18 cents total, then covers lead scoring, support routing, video clipping, and browser control. I push him on the startup angle: find a busines
Instinct AI: The AI Assistant for normal people
Instinct AI: The AI Assistant for normal people Sep 15, 2026 1650 I sit down with Remy to go through Instinct, the new invite-only personal agent that runs inside iMessage. Remy shares his raw chat history on screen: a haircut booking in Copenhagen, a restaurant reservation, a Bali visa on arrival, and an Emirates Skywards sign-up. We cover the parts that impress us, the points where the agent hits a wall, and the privacy questions that stay open. By the end of
Building a Software Factory that actually works (Full Course)
Building a Software Factory that actually works (Full Course) Sep 14, 2026 1889 Get Your Complete Financial OS at https://startup-ideas-pod.link/brex_SIP I welcome Ras Mic back to the pod to explain the phrase "software factory." Mic shares his screen and walks through the exact system that he runs today. His factory has four steps: isolate, build, prove, and ship. He keeps the whole system in five or six markdown files, so it works with any model and any harness. By the end
You're using GPT-6 Astra WRONG
You're using GPT-6 Astra WRONG Sep 10, 2026 1372 I talk with Ras Mic about GPT-6 Astra. We skip the game demos and the 3D toys, and we focus on use cases to earn money or improve products. I share 9 Astra prompts that I posted publicly, and Greg Brockman reposted. Ras then shows his hardware project: he moved from a speaker idea to a parts list, a Blender layout, and merged code in about 30 minutes. The takeaway is simple: use this model for the
Local AI Clearly Explained
Local AI Clearly Explained Sep 8, 2026 2326 I run this episode solo. I explain local AI in plain terms: the model runs on hardware I control, and a cloud model runs somewhere else. I map the four pieces of the local AI landscape — the model, the warehouse, the software, and the workflow — and I define the words that beginners meet first: parameters, tokens, context window, quantization, and GGUF. I walk through the Google open model stack (

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